EP2000780A1 - Verfahren und System zur Erfassung und Abschätzung des Stromverbrauchs von elektrischen Anlagen eines Teilnehmers - Google Patents

Verfahren und System zur Erfassung und Abschätzung des Stromverbrauchs von elektrischen Anlagen eines Teilnehmers Download PDF

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Publication number
EP2000780A1
EP2000780A1 EP08157409A EP08157409A EP2000780A1 EP 2000780 A1 EP2000780 A1 EP 2000780A1 EP 08157409 A EP08157409 A EP 08157409A EP 08157409 A EP08157409 A EP 08157409A EP 2000780 A1 EP2000780 A1 EP 2000780A1
Authority
EP
European Patent Office
Prior art keywords
consumption
subscriber
installations
electrical
sampling
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
EP08157409A
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English (en)
French (fr)
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EP2000780B1 (de
Inventor
Bruno Charbonnier
Guy D'urso
Mabrouka El Guedri
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Electricite de France SA
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Electricite de France SA
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Filing date
Publication date
Application filed by Electricite de France SA filed Critical Electricite de France SA
Publication of EP2000780A1 publication Critical patent/EP2000780A1/de
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Publication of EP2000780B1 publication Critical patent/EP2000780B1/de
Not-in-force legal-status Critical Current
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Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D4/00—Tariff metering apparatus
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D2204/00—Indexing scheme relating to details of tariff-metering apparatus
    • G01D2204/20—Monitoring; Controlling
    • G01D2204/24—Identification of individual loads, e.g. by analysing current/voltage waveforms
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R22/00—Arrangements for measuring time integral of electric power or current, e.g. electricity meters
    • G01R22/06—Arrangements for measuring time integral of electric power or current, e.g. electricity meters by electronic methods
    • G01R22/10—Arrangements for measuring time integral of electric power or current, e.g. electricity meters by electronic methods using digital techniques
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02B90/20—Smart grids as enabling technology in buildings sector
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/30—Smart metering, e.g. specially adapted for remote reading

Definitions

  • Electric energy is an essential element of industrial and economic activity, but also in the daily life of everyone. More precisely, the consumption of this energy, whose production has tripled during the last thirty years in France, is broken down by sectors where the most important sectors are those of industry and tertiary housing.
  • Electricity producers are facing new challenges, such as the opening up of the electricity market and the quality of the power supplied.
  • Electric power or any other source of energy, is no longer just a source of energy. It has become a source of information that can be valued both at customer and supplier level.
  • a viable method should use the minimum of contextual information and be non-intrusive as much as possible.
  • the aforementioned methods are generally based on the principle of decomposition of the load curve, that is to say the consumption chronograms of a given installation.
  • the decomposition methods of the load curve can be distinguished according to their intrusiveness when targeted uses are instrumented with sensors, or non-intrusive.
  • transient-NILM Non-Intrusive Appliance Load Monitoring
  • the first module of the system determines the spectral envelopes, at the fundamental frequency and some harmonics, from a spectral decomposition of the current i (t) measured at the sampling frequency 8 kHz.
  • the second module detects transient events (breaks) on these envelopes.
  • the detection is followed by a classification step, where a classifier identifies the detected forms by comparing them to forms of a previously constructed database.
  • the author also took into account the case of several machines having the same physical characteristics (example: induction machines), but of different dimensions for example, and this by applying the procedure to several time scales.
  • the aforementioned method is based on a reference database, and exploits the consumption signature of the transient use only through its shape, but without modeling it.
  • the latest work in the field of detection and identification of charges is a priori a hybrid approach of the two regimes. More precisely, the power of steady-state use is modeled by a Gaussian process. A classification of uses is then performed in the power variation / power variation space ( ⁇ P, ⁇ Q). Another classifier, which exploits the signature of transient uses, makes it possible to overcome the limits of the first classifier.
  • the input data is the active power, sampled at a time between 1s and 16s.
  • the recognition of the electrical uses is carried out based on the result of the previous algorithm and on a reference database, containing measurements of the active power of the targeted uses (for about a week).
  • the analysis apparatus is necessarily placed on the connection of the installation to the LV network, beyond the reach of the user.
  • the object of the present invention is to remedy the drawbacks and limitations of the prior art, in particular to eliminate any databases relating to the consumption signatures of the developments in the art. previous, while allowing a fine analysis of the uses of the devices constituting the installation of any subscriber.
  • Another object of the present invention is the implementation of a method and a system for detecting and estimating the consumption of the electrical uses of the installations of a subscriber allowing, thanks to a programmable modular design, a setting of implemented by any subscribing customer.
  • the method for detecting and estimating the consumption of the electrical uses of meter installations which is the subject of the present invention, is remarkable in that it consists at least in establishing the general electrical consumption curve of the subscriber's installations, and, to perform, by segmentation of the general consumption curve of the subscriber's installations and by monitoring the transient power consumption events, the detection of the monitoring of the electrical consumption events and their corresponding consumption.
  • the step consisting in establishing the general consumption curve of the subscriber's installations includes at least the sampling of the consumption of the effluents consumed by the subscriber's installations, this sampling being carried out in downstream of the effluent consumption meter connected to the connection to the general network.
  • the effluents consumed by the subscriber's installations comprise at least one of the effluents such as gas, electric current and water.
  • the system for detecting and estimating the consumption of the electrical uses of the installations of a subscriber, object of the present invention is remarkable in that it includes at least one module for calculating and memorizing the power consumption curve.
  • the module for calculating and memorizing the general power consumption curve of the subscriber's installations comprises at least one sampling module for the consumption of the effluents consumed by the installations of the subscriber. subscriber and a module for storing and transmitting sampled values to a remote platform for processing the recognition of electrical uses and their corresponding consumption.
  • the sampled value transmission module comprises a wireless transmission resource connecting each of the sampling modules to a network access gateway and a network link from the gateway to the gateway. remote processing platform.
  • the method and the system for detecting and estimating the consumption of the electrical uses of the subscriber's installations, objects of the present invention are applicable to subscriber installations of all types, in particular industrial installations, domestic installations, and may, in particular, be adapted to facilities handling the most diverse effluents.
  • the method which is the subject of the invention consists, at least in one step A, in establishing the general electrical consumption curve of the subscriber's installations. This curve is noted ECCG. on the figure 2a in step A.
  • Step A is followed by a step B consisting of segmenting the general consumption curve of the subscriber's installations, ECCG curve, and monitoring of the transient power consumption events, the recognition of the electrical and electronic uses. to estimate their corresponding consumption.
  • the segmentation operation is executed during a substep B 0 . and tracking events and executed during a substep B 1 .
  • step A A more detailed description of step A and in particular of the sub-stages of the implementation of the latter will now be given in connection with the figure 2b .
  • step A of establishing the general consumption curve of the subscriber's facilities includes at least: sampling the consumption of the effluents consumed by the subscriber's facilities. This sampling occurs downstream of the effluent consumption meter connected to the connection to the general network.
  • the sampling of effluent consumption may comprise, in one step A1, the sampling of an effluent such as gas, in one step A2 the sampling of the sanitary or industrial water consumed by the subscriber, in one step A3 , the sampling of the electric current for example.
  • the corresponding consumptions are noted CG, CE, and CWE. It is of course understood that the modes and sampling periods of each of the aforementioned effluents may be different in order to ensure a faithful record of the consumption of the aforementioned effluents.
  • the method of the invention may consist in sampling the temperature outside the installations. This makes it possible to correlate the events of electrical consumption with changes in the temperature outside the aforementioned installations.
  • the sampled external temperature values T EXT are denoted CT in step A4 of the above-mentioned figure.
  • step B of the figure 2a A more detailed description of the implementation of step B of the figure 2a will now be given in connection with the figure 3 and following figures.
  • the step of segmentation of the general consumption curve of the installations for the recognition of electrical uses and to estimate their consumption includes in one step B01 the measurement by sampling at a frequency of the Herz order of the general electrical power recorded by the electric meter.
  • step B01 of the figure 3 the measurement operation by sampling is noted:
  • Step B01 is followed by a step B02 of discrimination delayed electrical uses by identification of the electrical signature from, in particular, sampled consumption of water, gas and the sampled outside temperature.
  • the step of detecting the follow-up of the transient power consumption events is based on a sampling of the voltage V and of the electric current I consumed by the subscriber's installation at a sampling frequency fe2 between 800 Hz and 10 kHz .
  • V and I denote the supply voltage respectively the electrical current consumed by the subscriber installation and V * and I * denote the corresponding sampled values.
  • Step B11 is followed by a test step denoted B12 consisting in comparing the sampled values V * and I * with the voltage signatures SV respectively of current intensity SI.
  • V * SV ?
  • I * IF ?
  • step B11 When the sampled values of voltage and / or current do not do not correspond to the respective signature of voltage and currents, a step of returning to step B11 is executed for continuation of the process.
  • the step of recognizing the uses of electrical consumption is made by a comparison of the electrical signals and their transient signatures, because of the sampling carried out at the above-mentioned sampling frequency fe2, which can be chosen high enough to allow a substantially real-time execution of the whole.
  • delayed discrimination of the electrical uses includes the discrimination of the type of uses of apparatus by correlation of the consumptions with the mode of consumption of the effluents.
  • the discrimination of the type of use can consist in particular in comparing the corresponding sampled water consumption with a threshold water consumption value.
  • this comparison is positive, it can be concluded, for example, during a sudden increase in water consumption, sub-step B021b, the launch of a domestic appliance such as a washing machine, for example, whereas, in a negative response to the comparison test at the aforementioned threshold value, it is considered in a sub-step B021c, in the absence of significant variations in water consumption, that this apparatus, for an electrical power called comparable, is for example a dryer or other.
  • the consumption of electrical uses corresponds to an electrical use accompanied by water rated CEUE respectively to an electrical use not accompanied by water noted EUCE .
  • the system which is the subject of the invention includes at least resources for calculating and memorizing the general power consumption curve of the subscriber's installations.
  • the aforementioned resources are denoted 1a, 1b, 1c.
  • the aforementioned resources are noted GAS MODULE, WATER MODULE, ELECTRICITY MODULE or MARKETING UNIT. It is understood, in fact, that the aforementioned modules are installed at the subscriber at the facilities of the latter.
  • the system which is the subject of the invention comprises calculation resources referenced 2, the above-mentioned calculation resources operating by segmentation of the general consumption ECCG curve by tracking the transient power consumption events, in order to execute the recognition of the electrical uses and their corresponding consumption.
  • the resources for calculating and memorizing the general power consumption curve of the subscriber's installations comprise sampling circuits for the consumption of the effluents consumed by the subscriber's installations, these circuits being contained in the modules 1a, 1b , 1 C.
  • the system that is the subject of the invention comprises, in the computing resources, circuits for storing the sampled values of the consumption of effluents consumed and for transmitting the sampled values mentioned above to a remote platform for processing the recognition of uses. electrical appliances and their corresponding consumption.
  • the circuits for storing the aforementioned sampled values are not represented, the transmission resources of the aforementioned sampled values to the remote platform 2 being represented by the arrows connecting each of the modules 1a, 1b, 1c to a gateway 1d, which is itself connected to the remote platform 2 forming the calculation resources by segmentation of the general consumption curve ECCG facilities.
  • the aforementioned remote platform also makes it possible to perform the recognition of the electrical uses and their corresponding consumption.
  • the system for transmitting the sampled values may advantageously comprise a wireless transmission resource, connecting each of the modules 1a, 1b, 1c to the gateway 1d, as well as a network link 1e of the gateway 1d to the platform remote treatment 2.
  • the network link of the gateway to the remote processing platform may be constituted by an ADSL or GPRS type link.
  • the remote processing platform 2 can be connected to a Web portal 3 allowing any controlled access by the subscriber to the consumption result of the electrical uses of his installations.
  • controlled access covers, in particular, the usual criteria for identifying the subscriber from an identification code and any procedure for securing access that may include authentication and non-repudiation of the subscriber.
  • the remote platform 2 may advantageously comprise a module 2a for calculating the parameters of the signature receiving the sampled values of water consumption CONSO WATER, consumption of gas CONSO GAZ, electrical power sampled at 1 Hz, voltage V and consumed electric current I.
  • the module 2a can receive the sampled value of the outside temperature at facilities.
  • the remote platform 2 may further comprise a module 2b for detecting the uses of electrical consumption. This module is also associated with a module 2c for estimating the consumption of electrical uses.
  • the two aforementioned modules can advantageously be associated with a module 2d for detecting malfunctions.
  • the module 2c can be associated with a database of consumption of electrical uses containing billing data elements, which can be accessed by the only authorized subscriber via the private web portal 3.
  • the invention also covers a computer program product comprising a series of instructions executable by a computer or by a dedicated system for detecting and estimating the consumption of the electrical uses of the facilities of a subscriber.
  • This product the computer program is remarkable in that it comprises at least one computer program module installed at subscriber facilities and allowing to perform the calculation, storage and transmission of sampled values of consumption effluent to a remote treatment platform for effluents, as previously described in the description, in particular electrical energy, gas, sanitary water for example.
  • the product of the computer program may for example advantageously consist of program modules denoted respectively [M1a], [M1b], [M1c] each of these modules being of course separately installed at the level of the physical modules.
  • each program module is installed so as to sample the consumption of one of the effluents at a corresponding effluent meter.
  • the program product, object of the invention further comprises a computer program module noted [M2], located at the remote platform 2 treatment.
  • the computer program module [M2] may be constituted either by a single program module or, on the contrary, as represented in FIG. figure 5b by a plurality of program modules respectively denoted [M2a], [M2b], [M2c], [M2d].
  • the various aforementioned program modules make it possible, during the execution of the instructions of the latter, to perform the recognition of the electrical uses and the calculation of their corresponding consumptions as described previously in the description.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
EP08157409.7A 2007-06-05 2008-06-02 Verfahren und System zur Erfassung und Abschätzung des Stromverbrauchs von elektrischen Anlagen eines Teilnehmers Not-in-force EP2000780B1 (de)

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Application Number Priority Date Filing Date Title
FR0703999A FR2917161B1 (fr) 2007-06-05 2007-06-05 Procede et systeme de detection et d'estimation de la consommation des usages electriques des installations d'un souscripteur

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EP2000780A1 true EP2000780A1 (de) 2008-12-10
EP2000780B1 EP2000780B1 (de) 2017-02-15

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Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2009103998A3 (en) * 2008-02-21 2010-04-08 Sentec Limited A method of inference of appliance usage. data processing apparatus and/or computer software
WO2011012840A3 (en) * 2009-07-30 2011-09-01 Intelligent Sustainable Energy Limited Identifying the operation of a specified type of appliance
FR2974698A1 (fr) * 2011-04-29 2012-11-02 Ga Systeme de controle a distance d'equipements electriques
WO2012168629A1 (fr) 2011-06-08 2012-12-13 Smart Impulse Procede d'analyse de la consommation d'electricite d'un site equipe d'une pluralite d'equipements electriques
FR2982031A1 (fr) * 2011-11-02 2013-05-03 Electricite De France Procede et systeme d'estimation de la consommation electrique d'un dispositif de chauffage electrique
WO2014181062A1 (fr) 2013-05-06 2014-11-13 Smart Impulse Procede et systeme d'analyse de la consommation d'electricite
WO2015150670A1 (fr) * 2014-04-01 2015-10-08 Socomec Procede de mesure de la consommation energetique des branches d'un reseau electrique et equipement de mesure mettant en oeuvre ledit procede
US9529687B2 (en) 2011-12-20 2016-12-27 Schneider Electric Industries Sas Method for determining a power consumption in an electric installation and alternating current electric installation
US9625504B2 (en) 2011-12-20 2017-04-18 Schneider Electric Industries Sas Method for determining a power consumption, supervision system and electric installation comprising application thereof
CN112016587A (zh) * 2020-07-09 2020-12-01 冯燕钧 基于主站特征库技术的用能监测云端协同非侵入辨识方法
US10942205B2 (en) 2013-05-06 2021-03-09 Smart Impulse Method and system for analyzing electricity consumption
CN113191600A (zh) * 2021-04-13 2021-07-30 清科优能(深圳)技术有限公司 基于数据挖掘的房屋非侵入式负荷智能识别方法
CN113655337A (zh) * 2021-07-27 2021-11-16 上海千居智科技有限公司 一种非侵入式用电设备运行序列识别方法及识别系统

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Cited By (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2009103998A3 (en) * 2008-02-21 2010-04-08 Sentec Limited A method of inference of appliance usage. data processing apparatus and/or computer software
US9176192B2 (en) 2009-07-30 2015-11-03 Intelligent Sustainable Energy Limited Identifying the operation of a specified type of appliance
WO2011012840A3 (en) * 2009-07-30 2011-09-01 Intelligent Sustainable Energy Limited Identifying the operation of a specified type of appliance
EP2460025B1 (de) * 2009-07-30 2019-02-13 Sensus USA Inc. Erkennung des betriebs eines bestimmten gerätetyps
FR2974698A1 (fr) * 2011-04-29 2012-11-02 Ga Systeme de controle a distance d'equipements electriques
WO2012168629A1 (fr) 2011-06-08 2012-12-13 Smart Impulse Procede d'analyse de la consommation d'electricite d'un site equipe d'une pluralite d'equipements electriques
FR2982031A1 (fr) * 2011-11-02 2013-05-03 Electricite De France Procede et systeme d'estimation de la consommation electrique d'un dispositif de chauffage electrique
US9529687B2 (en) 2011-12-20 2016-12-27 Schneider Electric Industries Sas Method for determining a power consumption in an electric installation and alternating current electric installation
US9625504B2 (en) 2011-12-20 2017-04-18 Schneider Electric Industries Sas Method for determining a power consumption, supervision system and electric installation comprising application thereof
WO2014181062A1 (fr) 2013-05-06 2014-11-13 Smart Impulse Procede et systeme d'analyse de la consommation d'electricite
US10942205B2 (en) 2013-05-06 2021-03-09 Smart Impulse Method and system for analyzing electricity consumption
WO2015150670A1 (fr) * 2014-04-01 2015-10-08 Socomec Procede de mesure de la consommation energetique des branches d'un reseau electrique et equipement de mesure mettant en oeuvre ledit procede
US9989567B2 (en) 2014-04-01 2018-06-05 Socomec Method of measuring the energy consumption of the branches of an electrical network and measurement equipment implementing said method
CN112016587A (zh) * 2020-07-09 2020-12-01 冯燕钧 基于主站特征库技术的用能监测云端协同非侵入辨识方法
CN113191600A (zh) * 2021-04-13 2021-07-30 清科优能(深圳)技术有限公司 基于数据挖掘的房屋非侵入式负荷智能识别方法
CN113655337A (zh) * 2021-07-27 2021-11-16 上海千居智科技有限公司 一种非侵入式用电设备运行序列识别方法及识别系统
CN113655337B (zh) * 2021-07-27 2024-05-14 上海千居智科技有限公司 一种非侵入式用电设备运行序列识别方法及识别系统

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FR2917161A1 (fr) 2008-12-12
EP2000780B1 (de) 2017-02-15
FR2917161B1 (fr) 2009-09-18

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